Detailed Resume | Education | Supervision | Editorial |
Dr. Hammad Afzal is an accomplished academician, currently working as a Professor and heads the “Center of Data and Text Engineering and Mining” (CoDTeEM), a research lab at National University of Sciences and Technology, Pakistan (ranked #334 in the QS World University Rankings 2023 and #1 in Pakistan). He is recognized for his contributions in the fields of machine learning (ML), natural language processing (NLP), and applied ML in cutting-edge domains, including smart healthcare, multi-lingual NLP, and information security. In Multi-lingual NLP, he is positioned among the top 10% most cited researchers on Google Scholar.
Dr. Hammad completed PhD from School of Computer Science, University of Manchester, UK (ranked #26 in the QS World University Rankings 2023) and worked as Research Internee in Insight Center for Data Analytics, University of Ireland, Galway. He did MSc in Advanced Computing Sciences from University of Manchester, UK where he was awarded Program Prize of the year from Department of Computation for acquiring highest grades in MS courses. He has also garnered professional training and certifications from prestigious institutes such as IBM, DeepLearning.AI, Microsoft, and Google.
He has over 13 years of teaching and research experience at various educational and research institutions. He has over 79 publications (with Cumulative Impact Factor more than 200) in highly prestigious refereed international journals and conferences. He has supervised 10 PhD and 80 MS students. He is currently engaged in various funded projects, supported by a substantial funding amount of more than 20 Million PKR from various resources including Research and Academic Collaboration, Govt of Pakistan, National Grassroots ICT Research Initiative and BBSRC-funded project (UK).
Dr. Hammad is a professional member of various national and international bodies such as IEEE (Senior Member) ACM, Pakistan Engineering Council (PEC). He has served as the Head of UG Curriculum Committee, PEC and HEC, for Sub-Group Software Engineering. He has also served as an evaluator for several National R&D programs including ICT R&D, NGIRI, NTS etc. He has also attained several awards such as Best Researcher MCS NUST of year 2019, Peter Jones Prize of the year 2005, to attain highest grades in all MSc courses in the Department of Informatics, University of Manchester, UK (Equivalent to Gold Medal).
He has contributed extensively to the academic community by serving as Chair, Co-Chair and a member of the Technical Program Committee for several conferences, e.g. WETICE, ICMMI, ICOSST, MedPRAI etc. He has served as a reviewer of over 20 reputed international journals including IEEE Communications Magazines, the Journal of Natural Language Engineering, Neural Computing and Applications, Cluster Computing, etc. Apart from that, currently, he holds the position of Associate Editor for Human-centric Computing and Information Sciences, (a journal ranked in Q1 and in the top 10% according to Scopus and WoS) as well as for Mobile Information Systems. Additionally, he has had the honor of serving as a Guest Editor for two special issues in Security and Communication Networks (ranked in Q2 according to Scopus).
Roles
- Professor (NUST)
- PG Program Coordinator (Dept of Computer Software Engg, NUST)
- Lead Sub-Group Software Engineering ECRDC, Pakistan Engineering Council (Curriculum 2020)
- Member ACM | Senior Member IEEE | PEC Recognized Engr | HEC Approved Supervisor;
Education
- PhD Computer Science, University of Manchester, UK (2009)
Thesis: A Literature-Based Framework for Semantic Descriptions of e-Science Resources - MSc Computer Science, University of Manchester, UK [Distinction] (2005)
Thesis: Topic Focused Web Crawler
Honour: Peter Jones Prize for the highest score among all MSc students in the Department of Informatics - BE Software Engg, National University of Sciences and Technology, Pakistan (2003)
CGPA: 3.53/4.0 (Honours) - Google Cloud – Coursera
Google Cloud Big Data and Machine Learning Fundamentals
Google Cloud Fundamentals: Core Infrastructure - DeepLearning.AI – Coursera
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Neural Networks and Deep Learning – DeepLearning.AI – Coursera
Effective Problem-Solving and Decision-Making -University of California, Irvine – Coursera
Supervision
Doctoral Thesis Supervised/Supervising
| Student | Title |
| Sabeen Javaid | A Web of Things Architecture Focusing on Trust |
| Zeeshan Anwar | Mining Crowdsourcing Repositories for Open Innovation in Software Engineering |
| Naureen Zainab | Temporal Detection and Classification of Citrus Canker Growth Rate |
| Muhammad Waheed Khan | Multiclass Vulnerabilities Discovery and Severity Analysis in Mobile Platforms |
| Sumair Shaukat | Text to Image Synthesis of Medical Images using Diffusion Modeling |
| Osama Subhani | Study of Ethical Issues in Large Language Models |
| Quratulain | Classification of Severity Level of Dysarthria Disease and Voice Reconstruction using Deep Learning |
Graduate Thesis Supervised/Supervising
| Student | Topic | Year |
| Haider Kamal | Replication of Learned Multi-Agent Reinforcement Learning Strategies for the Hide and Seek Problem | 2023 |
| Syeda Hafsa Ali | Generation of Textual Art using Hybrid Learning Techniques | 2023 |
| Rahat Afza | Improving Text-to-Image Generation with Multimodal Semantic Coherence in Adversarial Training | 2023 |
| Mehram Nawaz | Multimodal Islamophobic Content Detection on Social Media using Deep Learning | 2023 |
| Joveria Rubaab | Mapping Network Features to attack profiles to enhance the Real-time Intrusion Detection | 2003 |
| Muneeba Daud | Using Vision Transfers for Image Enhancement | 2023 |
| Anum Fatima | An Automated Teeth Lesion Diagnosis based on deep learning | 2022 |
| Sarah Ali | Personality Detection Using Deep Learning Techniques | 2022 |
| Laraib Zainab | A Deep Learning based Framework for low-light image enhancement | 2022 |
| Rabia Qayyum | Detection and Analysis of Mental Health Illness using social media | 2022 |
| Iqra Javed | Disaster Events Identification from Social Media Data Using Deep Machine Learning Technique | 2022 |
| Aiman Muzaffar | Recommending of experts to questions on Stack Overflow | 2022 |
| Raja Mubashir Munaf | Urdu Summarization using Pretrained Language Models | 2022 |
| Maira Ali | Towards the creation of adversarial attacks for textual data from diverse domains | 2022 |
| Muhammad Mubashir | Detection of Fake Apps Through Hybrid Machine Learning and NLP Techniques | 2022 |
| Aleena Nadeem | Depression Detection using Machine Learning Technique | 2021 |
| Faiza Murtaza | Optimal Controller’s Placement inside SDN environment via Machine Learning Technique | 2021 |
| Shahid Nazir | Classification of Legitimate and Compromised Data inside IoT Environment Based on Machine Learning | 2021 |
| Sajid Hussain | Adverse Drug Reactions (ADRs) extraction using Transfer Of Learning | 2020 |
| Muhammad Azeem Iqbal | Smart Poultry Farming Using IoT | 2020 |
| Samiullah Javaid | Response Generation Using Deep Learning for Automated Email Response System | 2020 |
| Muhammad Hamza Qamar | A Multilingual Framework for Identification and Categorization of Hate Speech and Abusive Language | 2020 |
| Jawad Ahmed | Fake News Detection Using Machine Learning | 2020 |
| Faraz Mahmood Khakwani | Multi-class Prediction of Dengue Using Early Clinical, Demographic, and Laboratory Data | 2020 |
| Moniba Iqbal | Automated User Requirements Extraction from Reddit Using Machine Learning | 2020 |
| Marvi Waheed | Missing Values Imputation & Classification Using Stream Mining Algorithms in the Internet of Things (IoT) | 2020 |
| Sumaiya Arshad | Talking Hand: Two-Way Communicator for Deaf People | 2019 |
| Khawir Mahmood | A framework for predicting optimal tuning parameters for GPU compute kernels using machine learning | 2019 |
| Sartaj Aziz | A Model for Entity and Relation Extraction from Biomedical Text | 2019 |
| Tayyeba Jehangir | Deep Fusion Approach Towards Kinship Verification | 2019 |
| Aziya Mehboob | Supervised Topic Modeling in Urdu Language for Domain Lexicon Generation | 2019 |
| Madiha Yousaf | Detecting Semantically Similar Sentences Using Deep Learning Techniques | 2019 |
| Badr un Nisa | Improving the Concept Search of the Quran Using Linguistic Semantic Resources and Deep Learning | 2019 |
| Rumesa Farooq | Embedding Part of Speech (POS) Information in Word2vec for Text Classification | 2019 |
| Ramsha Saeed | Detection of Hate Speech Against Different Groups on Social Media | 2019 |
| Farah Saleem | Predicting Trust Using Reputation Features | 2019 |
| Zafran Khan | Improvised Hybrid Collaborative Filtering Recommender System | 2018 |
| Mehreen Astafnas | Design and implementation of a framework to aggregate feedback about consumer products from social media | 2018 |
| Zafar Iqbal | Improved Predictive Models for Thoracic Surgery Using Datamining Techniques | 2017 |
| Kanwal Ahmed | Analyzing the bias in public opinion and media reports for events in different geographical regions | 2017 |
| Subhan Khan | A-Semi Automatic Decision Support System for Predicting Heart Failure Using Advanced Classification Techniques | 2017 |
| Nabeel Ahmed | A Predictive Classifier for Crowdfunding Success Prediction Using Project Attributes | 2017 |
| Talha Arshad Malik | Identifying source printers of documents using Image Processing & Machine Learning | 2017 |
| Asma Ghulam Rasool | Handwriting analysis of offline data for gender prediction | 2016 |
| Hassan Latif | Prediction of Movies popularity using machine learning techniques | 2016 |
| Yaser Waseem | 2016 | |
| Maham Jehangir | Enhanced Expert Systems for Medical Diagnostics using Data Mining | 2016 |
| Komal Khalid | Extension Of Semantic Based Urdu Linguistic Resources Using Natural Language Processing Techniques | 2016 |
| Mahreen Ahmed | Churn prediction in the telecommunication industry using machine learning | 2016 |
| Faiza Moqaddas | Sentiment Analysis On Complex Sentences Of Urdu With Negations Using Deep Learning | 2016 |
| Muhammad Jamal Ashraf | A semantics-based bi-lingual information retrieval system to improve results of search engines | 2015 |
| Kashif Mehmood | Automatic Filtration of Spams in Multi-lingual Short Messages on Mobile and Social Media | 2015 |
| Sunia Malik | Crime Forecasting Using Data Mining Techniques | 2015 |
| Amna Khalid | Framework to cluster structured data and a recovery mechanism | 2014 |
| Sheikh Zeeshan Javed | Text Processing And Analyzing Traditional Medicine Literature | 2014 |
| Iqra Javed | Spatial-Temporal Political Event Analysis Based On Social Web | 2014 |
| Mansoor Ahmed Khan | Efficient Algorithms for Collective Communication Operation for MPI in Java using MPG Express | 2014 |
| Shoohira Aftab | A framework at the DAAS layer for handling interoperability and security in data integration | 2014 |
| Veena Safdar | A gradient routing protocol for wireless sensor networks with mobile sinks using a zone-based approach | 2014 |
| Asma Sajid | Linked Data Portal for e-Government Resources of Pakistan | 2013 |
| Tayyaba Mukhtar | Creating an infrastructure for the semantic search of The Holy Quran using English Wordnet | 2012 |
Teaching
I have been regularly teaching one/two courses each semester. My Teaching schedule has been like below:
| Summer, 2023 | Data Structures and Algorithms | Undergraduate |
| Spring, 2023 | Machine Learning | Postgraduate |
| Fall, 2022 | Machine Learning | Undergraduate |
| Spring, 2022 | Deep Learning | Postgraduate |
| Spring, 2022 | Data Warehousing and Data Mining | Undergraduate |
| Fall, 2021 | Machine Learning | Undergraduate |
| Fall, 2021 | Machine Learning | Undergraduate |
| Spring, 2021 | Data Warehousing and Data Mining | Undergraduate |
| Spring, 2021 | Machine Learning | Postgraduate |
| Fall, 2020 | Data Warehousing and Data Mining | Undergraduate |
| Fall, 2020 | Data Warehousing and Data Mining | Undergraduate |
| Spring, 2020 | Data Warehousing and Data Mining | Undergraduate |
| Spring, 2020 | Machine Learning | Postgraduate |
| Fall, 2019 | Computer Organization and Architecture | Undergraduate |
| Fall, 2019 | Machine Learning | Postgraduate |
| Spring, 2019 | Data Warehousing and Data Mining | Undergraduate |
| Spring, 2019 | Machine Learning | Undergraduate |
| Summer, 2018 | Object Oriented Programming | Undergraduate |
| Spring, 2018 | Machine Learning | Postgraduate |
| Spring, 2018 | Object Oriented Programming | Undergraduate |
| Fall, 2017 | Data Mining and Warehousing | Undergraduate |
| Spring, 2017 | Object Oriented Programming | Undergraduate |
| Spring, 2017 | Machine Learning | Postgraduate |
| Fall, 2016 | Data Mining and Warehousing | Undergraduate |
| Spring, 2016 | Computer Organization and Architecture | Undergraduate |
| Spring, 2016 | Machine Learning | Postgraduate |
| Fall, 2015 | Data Mining and Warehousing | Undergraduate |
| Summer, 2015 | Machine Learning | Postgraduate |
| Spring, 2015 | Software Quality Engineering | Postgraduate |
| Fall, 2014 | Data Mining and Warehousing | Undergraduate |
| Summer, 2014 | Object Oriented Programming | Undergraduate |
| Spring, 2014 | Distributed Computing | Undergraduate |
| Spring, 2014 | Advanced Databases | Postgraduate |
| Fall, 2013 | Object Oriented Programming | Undergraduate |
| Spring, 2013 | Data Mining | Undergraduate |
| Spring, 2013 | Computer Org and Arch | Undergraduate |
| Fall 2012 | Operating Systems | Undergraduate |